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Article published In: Learner Corpus Research for Pedagogical Purposes
Edited by Sandra Götz and Sylviane Granger
[International Journal of Learner Corpus Research 10:1] 2024
► pp. 216240

References (42)
References
Baisa, V., & Suchomel, V. (2014). SkELL: Web interface for English language learning. Eighth Workshop on Recent Advances in Slavonic Natural Language Processing, 63–70.Google Scholar logo with link to Google Scholar
Bestgen, Y., & Granger, S. (2014). Quantifying the development of phraseological competence in L2 English writing: An automated approach. Journal of Second Language Writing, 261, 28–41. Google Scholar logo with link to Google Scholar
(2018). Tracking L2 writers’ phraseological development using collgrams: Evidence from a longitudinal EFL corpus. In S. Hoffmann, A. Sand, S. Arndt-Lappe, & L. M. Dillmann (Eds.), Corpora and Lexis (pp. 277–301). Brill. Google Scholar logo with link to Google Scholar
Boulton, A., & Cobb, T. (2017). Corpus use in language learning: A meta-analysis. Language Learning, 67(2), 348–393. Google Scholar logo with link to Google Scholar
Boulton, A., & Vyatkina, N. (2021). Thirty years of data-driven learning: Taking stock and charting new directions. Language Learning and Technology, 25(3), 66–89.Google Scholar logo with link to Google Scholar
Boyd, A., Hana, J., Nicolas, L., Meurers, D., Wisniewski, K., Abel, A., Schöne, K., Štindlová, B., & Vettori, C. (2014). The MERLIN corpus: learner language and the CEFR. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014) (pp. 1281–1288), European Language Resources Association (ELRA).Google Scholar logo with link to Google Scholar
Carlsen, C. (2012). Proficiency level – A fuzzy variable in computer learner corpora. Applied Linguistics, 33(2), 161–183. Google Scholar logo with link to Google Scholar
Casani, E. (2020). Valutare la competenza morfosintattica in italiano L2. Una validazione corpus-based dei livelli del QCER. In E. Nuzzo, E. Santoro, & L. Vedder (Eds.), Valutazione e misurazione delle produzioni orali e scritte in italiano lingua seconda (pp. 15–26). Cesati.Google Scholar logo with link to Google Scholar
Chambers, A. (2019). Towards the corpus revolution? Bridging the research–practice gap. Language Teaching, 52(4), 460–475. Google Scholar logo with link to Google Scholar
Cole, M. W. (2014). Speaking to read: Meta-analysis of peer-mediated learning for English language learners. Journal of Literacy Research, 46(3), 358–382. Google Scholar logo with link to Google Scholar
Forti, L. (2023). Learner corpora and the design of data-driven learning activities. In B. Bédi, Y. Choubsaz, K. Friðriksdóttir, A. Gimeno-Sanz, S. Björg Vilhjálmsdóttir, & S. Zahova (Eds.), CALL for all Languages – EUROCALL 2023 Short Papers. University of Iceland, Reykjavik, August 15–18 (pp. 139–144). Editorial Universitat Politècnica de València. Google Scholar logo with link to Google Scholar
Forti, L., Bolli, G. G., Santarelli, F., Santucci, V., & Spina, S. (2020). MALT-IT2: A new resource to measure text difficulty in light of CEFR levels for Italian L2 learning. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the 12th Language Resources and Evaluation Conference (pp. 7206–7213). European Language Resources Association (ELRA).Google Scholar logo with link to Google Scholar
Frey, J. C., König, A., Stemle, E. W., & Paquot, M. (2023, August/September). A core metadata schema for L2 data. Poster presented at the EuroSLA 32 conference 2023, University of Birmingham, United Kingdom.
Friginal, E. (2018). Corpus linguistics for English teachers: Tools, online resources, and classroom activities. Routledge. Google Scholar logo with link to Google Scholar
Gilquin, G. (2023). Written learner corpora to inform teaching. In R. R. Jablonkai, & E. Csomay (Eds.), The Routledge handbook of corpora and English language teaching and learning (pp. 281–295). Routledge.Google Scholar logo with link to Google Scholar
Gilquin, G., & Granger, S. (2022). Using data-driven learning in language teaching. In A. O’Keeffe, & M. J. McCarthy (Eds.), The Routledge handbook of corpus linguistics (2nd ed., pp. 430–442). Routledge. Google Scholar logo with link to Google Scholar
Glaznieks, A., Frey, J.-C., Stopfner, M., Zanasi, L., & Nicolas, L. (2022). LEONIDE: A longitudinal trilingual corpus of young learners of Italian, German and English. International Journal of Learner Corpus Research, 8(1), 97–120. Google Scholar logo with link to Google Scholar
Götz, S. (2022, August). Learner corpora and DDL: A promising synergy? Paper presented at the CorpusCALL SIG symposium “DDL and learner corpora” as part of the EuroCALL conference 2022 (online), University of Iceland, Iceland.
Goulart, L., & Veloso, I. (Eds.). (2023). Corpora in English language teaching. Classroom activities for teachers new to corpus linguistics. Open Educational Resource. Montclair State University.Google Scholar logo with link to Google Scholar
Granger, S. (1996). From CA to CIA and back: An integrated approach to computerized bilingual and learner corpora. In K. Aijmer, B. Altenberg, & M. Johansson (Eds.), Languages in contrast: Papers from a symposium on text-based cross-linguistic studies: Lund 4–5 March 1994 (pp. 37–51). Lund University Press.Google Scholar logo with link to Google Scholar
(2015). Contrastive interlanguage analysis: A reappraisal, International Journal of Learner Corpus Research, 1(1), 7–24. Google Scholar logo with link to Google Scholar
Granger, S., Dupont, M., Meunier, F., Naets, H., & Paquot, M. (Eds.). (2020). International Corpus of Learner English. Version 3. Presses universitaires de Louvain.Google Scholar logo with link to Google Scholar
Granger, S., & Paquot, M. (2017, December). Towards standardization of metadata for L2 corpora. Invited talk at the CLARIN workshop on Interoperability of Second Language Resources and Tools, University of Gothenburg, Sweden.
Gyllstad, H., & Snoder, P. (2021). Exploring learner corpus data for language testing and assessment purposes: The case of verb + noun collocations. In S. Granger (Ed.), Perspectives on the L2 phrasicon (pp. 49–71). Multilingual Matters. Google Scholar logo with link to Google Scholar
Johns, T. (1991). Should you be persuaded – Two examples of data driven learning materials. In J. Johns, & P. King (Eds.), Classroom concordancing, English Language Research Journal, 41, 1–16.Google Scholar logo with link to Google Scholar
La Russa, F., D’Alesio, V., & Suadoni, A. (2023). Designing a corpus-based syllabus of Italian collocations: Criteria, methods and procedure, Revue Roumaine de Linguistique, 41, 377–389. Google Scholar logo with link to Google Scholar
Le Foll, E. (2021). Creating corpus-informed materials for the English as a foreign language classroom. A step-by-step guide for (trainee) teachers using online resources (Third Edition). Open Educational Resource. [URL]. CC-BY-NC 4.0.
Lee, H., Warschauer, M., & Lee, J. H. (2018). The effects of corpus use on second language vocabulary learning: A multilevel meta-analysis. Applied Linguistics, 40(5), 721–753. Google Scholar logo with link to Google Scholar
Mizumoto, A., & Chujo, K. (2015). A meta-analysis of data-driven learning approach in the Japanese EFL classroom. English Corpus Studies, 221, 1–18.Google Scholar logo with link to Google Scholar
Paquot, M., Rubin, R., & Vandeweerd, N. (2022). Crowdsourced adaptive comparative judgment: A community-based solution for proficiency rating. Language Learning, 72(3), 853–885. Google Scholar logo with link to Google Scholar
Pérez-Paredes, P. (2022). A systematic review of the uses and spread of corpora and data-driven learning in CALL research during 2011–2015. Computer Assisted Language Learning, 35(1–2), 36–61. Google Scholar logo with link to Google Scholar
Pérez-Paredes, P., Ordoñana Guillamón, C., Van de Vyver, J., Meurice, A., Aguado Jiménez, P., Conole, G., & Sánchez Hernández, P. (2019). Mobile data-driven language learning: Affordances and learners’ perception. System, 841, 145–159. Google Scholar logo with link to Google Scholar
Poole, R. (2018). A guide to using corpora for English language learners. Edinburgh University Press. Google Scholar logo with link to Google Scholar
Seidlhofer, B. (2002). Pedagogy and local learner corpora: Working with learning-driven data. In S. Granger, J. Hung, & S. Petch-Tyson (Eds.), Computer learner corpora, Second Language Acquisition and foreign language teaching (pp. 213–234). John Benjamins. Google Scholar logo with link to Google Scholar
Spina, S., Fioravanti, I., Forti, L., Santucci, V., Scerra, A., & Zanda, F. (2022). Il Corpus CELI: Una nuova risorsa per studiare l’acquisizione dell’italiano L2. Italiano LinguaDue, 14(1), 116–138. Google Scholar logo with link to Google Scholar
Spina, S., Fioravanti, I., Forti, L., & Zanda, F. (2023). The CELI corpus: Design and linguistic annotation of a new online learner corpus. Second Language Research, Ahead of print. [URL]
Viana, V. (Ed.). (2023). Teaching English with corpora: A resource book. Routledge.Google Scholar logo with link to Google Scholar
Vyatkina, N. (2020). Corpora as open educational resources for language teaching. Foreign Language Annals, 53(2), 359–370. Google Scholar logo with link to Google Scholar
Wu, S., Fitzgerald, A., & Witten, I. (2019). Developing and evaluating a learner-friendly collocation system with user query data. International Journal of Computer-Assisted Language Learning and Teaching, 9(2), 53–78. Google Scholar logo with link to Google Scholar
Zanda, F., & Rini, D. (2023). Using a learner corpus to refresh rating scales of CELI exams. In Conference proceedings of the ALTE 8th International Conference: Language Assessment Fit for the Future (pp. 42–47). ALTE.Google Scholar logo with link to Google Scholar
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